Sr Data Engineer, Analytics

Job Description

Sr Data Engineer, Analytics (CNN+)

The Job

CNN is the world's most essential and engaging source of video and digital news, and we're embarking on a crucial mission to grow the next generation news and information consumer product. You'll be joining an empowered cross-functional team building the trusted new digital products, platforms, and formats that put CNN's talent, expertise, and content programming - and the directions it goes next - directly in the hands of consumers. The Internet is changing the news and information landscape, and we have an ambitious product roadmap grounded in journalism and facts. Our team has a unique ability to marry content, design, product, and technology to spark connection, fulfill utility, and build community.

The Growth Engineering team is a new team building products and technologies that will bring new customers to CNN+. We work closely with product managers, data scientists, and product analysts to explore growth opportunities, generate hypotheses, and test features. We experiment and test across many applications, including web, mobile, and TV/OTT. We lead A/B testing on our acquisition, activation, and conversion funnels.
Our tech stack consists of JavaScript, TypeScript, Node, Python, Svelte, Sass, and AWS services. Our data stack consists of Snowflake, Snowplow, dbt, Databricks, MixPanel, Looker, Optimizely, and AWS services. However, we will be flexible in our technology choices as we leverage internal services, open-source software, and cloud services.

Your ability to be flexible and traverse the data stack will be an asset to us as we evaluate the tradeoffs inherent in data engineering and experimentation. We have fun with this everyday: balancing what our users are asking for, what our users actually do, our current technical strengths, and what new technologies are emerging and where we want to grow as a team. We hold the ability to choose (or invent) the right tool for the job in high regard and consider it a critical part of our success.

In this remote world, we value your ability to work independently and allocate time sensibly while communicating with high emotional intelligence. We are enriched by the diversity of approach and perspective across our team and are excited to deepen our understanding with your contributions. The opportunity to put an amazing consumer experience in the hands of a large audience motivates us to move quickly and put our best work forward. If this resonates with you, we look forward to meeting you!

The Essentials
• Demonstrated experience working across the data stack
• Demonstrated experience building analyst-friendly datasets
• Demonstrated experience leading analysis with large datasets in the cloud
• Demonstrated experience collaborating cross-functionally to deliver data products and insights that enables business results
• Excellent oral and written communication skills, and ideally data presentation skills (such as Looker, Tableau, Domo)
• An ability to learn and apply new technologies to improve internal and consumer products
• Remote friendly

Jobcode: Reference SBJ-gqmnbz-18-119-17-207-42 in your application.